Presentation 2000/7/13
IFS Coding of High Order Non-Homogeneous Fractal Images
Toshimizu ABIKO, Masayuki KAWAMATA,
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Abstract(in English) This paper proposes a moment based encoding algorithm for iterated function system (IFS) coding of high order non-homogeneous fractal images. The proposed algorithm employs a quasi-Newton method combined with a multi-start steepest descent technique in order to solve the simultaneous algebraic equations for IFS codes. An experimental result shows that the computational time for encoding the 4th order non-homogeneous fractal image "Tree" is about 88 minutes on a PC with a 400MHz Pentium II processor. Finally, the restoration of blurred fractal images is demonstrated.
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Keyword(in English) image coding / fractal / iterated function system / inverse problem / quasi-Newton method / steepest descent method.
Paper # CAS2000-55,NLP2000-63
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Conference Information
Committee NLP
Conference Date 2000/7/13(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) IFS Coding of High Order Non-Homogeneous Fractal Images
Sub Title (in English)
Keyword(1) image coding
Keyword(2) fractal
Keyword(3) iterated function system
Keyword(4) inverse problem
Keyword(5) quasi-Newton method
Keyword(6) steepest descent method.
1st Author's Name Toshimizu ABIKO
1st Author's Affiliation Graduate School of Engineering, Tohoku University()
2nd Author's Name Masayuki KAWAMATA
2nd Author's Affiliation Graduate School of Engineering, Tohoku University
Date 2000/7/13
Paper # CAS2000-55,NLP2000-63
Volume (vol) vol.100
Number (no) 205
Page pp.pp.-
#Pages 8
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